Example #1
0
    def __init__(self,atomset1,atomset2):
        """ """        
        EnergyScorer.__init__(self,atomset1,atomset2)
        self.weight = None
        self.weightLabel = None

        self.scorer = AutoDock4Scorer()
        self.prop = self.scorer.prop
        
        self.r = self.ms.add_entities(atomset1) 
        self.l = self.ms.add_entities(atomset2) 
        self.scorer.set_molecular_system(self.ms)    
Example #2
0
def get_energy_breakdown(receptor_atoms, ligand_atoms, coords_to_use):
    ms = MolecularSystem()
    ms.add_entities(receptor_atoms)
    ms.add_entities(ligand_atoms)
    ms.set_coords(1, coords_to_use)
    #ms.set_coords(1, c.getCoords()[:])
    ad_scorer = AutoDock4Scorer()
    ad_scorer.set_molecular_system(ms)
    score_list = ad_scorer.get_score_per_term()
    ostr = ""
    for score in score_list:
        ostr = ostr + "% 8.4f," % score
    return ostr
Example #3
0
    cl.make_clustering(rms_tolerance)
    ref_coords = cl.clustering_dict[rms_tolerance][0][0].getCoords()[:]

    # for building hydrogen bonds or reporting energy breakdown
    # setup receptor:
    if build_hydrogen_bonds or report_energy_breakdown:
        ligMol.buildBondsByDistance()
        receptor = Read(receptor_filename)[0]
        receptor.buildBondsByDistance()
    if build_hydrogen_bonds:
        hbondBuilder = HydrogenBondBuilder()
    if report_energy_breakdown:
        ms = MolecularSystem()
        ms.add_entities(receptor.allAtoms)
        ms.add_entities(ligMol.allAtoms)
        adscorer = AutoDock4Scorer()
        adscorer.set_molecular_system(ms)

    mode = 'w'
    if append_to_outputfile:
        mode = 'a'
    fptr = open(outputfilename, mode)
    if mode=='w':
        if build_hydrogen_bonds and report_energy_breakdown:
            titles = "#clust  binding_nrg rmsd_v_0          Ki    int_nrg  hbnds sum_py_nrg estat_nrg     hbnd_nrg       vdw_nrg dsolv_nrg#ats #t\n"
        elif build_hydrogen_bonds:
            titles = "#clust  binding_nrg rmsd_v_0          Ki    int_nrg  hbnds #ats #t\n"
        elif report_energy_breakdown:
            titles = "#clust  binding_nrg rmsd_v_0          Ki    int_nrg  sum_py_nrg estat_nrg     hbnd_nrg       vdw_nrg dsolv_nrg#ats #t\n"
        else:
            titles = "#clust  binding_nrg rmsd_v_0          Ki    int_nrg #ats #t\n"
 mode = 'w'
 first = True
 if append_to_outputfile:
     mode = 'a'
     first = not os.path.exists(outputfilename)
 if verbose: print 'first is ', first
 optr = open(outputfilename, mode)
 if first:
     tstr = "RECEPTOR_LIGAND         #ESTAT       #HB      #VDW    #DSOLV  #TORSDOF #ATS #TORS\n"
     optr.write(tstr)
 #get the scores
 ms = MolecularSystem()
 ms.add_entities(receptor.allAtoms)
 ms.add_entities(ligand.allAtoms)
 if use_autodock40_weights:
     ad_scorer = AutoDock4Scorer()
 else:
     ad_scorer = AutoDock41Scorer()
 ad_scorer.set_molecular_system(ms)
 score_list = ad_scorer.get_score_per_term()
 ostr = "%8s_%6s," % (receptor.name, ligand.name)
 for score in score_list:
     ostr = ostr + " % 8.4f," % score
 ostr = ostr + " % 8d," % ligand.TORSDOF
 ostr = ostr + " % 8d," % len(ligand.allAtoms)
 ostr = ostr + " % 8d," % len(ligand.torTree.torsionMap)
 ostr = ostr + "\n"
 optr.write(ostr)
 optr.close()
 if verbose:
     print 'wrote %s' % outputfilename